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20162022
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 226 across the 27 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

cs.CV2018

How does Lipschitz Regularization Influence GAN Training?

Yipeng Qin, Niloy Mitra, Peter Wonka

Despite the success of Lipschitz regularization in stabilizing GAN training, the exact reason of its effectiveness remains poorly understood. The direct effect of -Lipschitz reg…

cs.GR2018

Learning a Shared Shape Space for Multimodal Garment Design

Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic +1

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for v…

cs.GR2018

Simplifying Urban Data Fusion with BigSUR

Tom Kelly, Niloy J. Mitra

Our ability to understand data has always lagged behind our ability to collect it. This is particularly true in urban environments, where mass data capture is particularly valuable…

cs.GR2018

iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos

Aron Monszpart, Paul Guerrero, Duygu Ceylan +2

A long-standing challenge in scene analysis is the recovery of scene arrangements under moderate to heavy occlusion, directly from monocular video. While the problem remains a subj…

cs.GR2018

FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs

Tom Kelly, Paul Guerrero, Anthony Steed +2

Coarse building mass models are now routinely generated at scales ranging from individual buildings through to whole cities. For example, they can be abstracted from raw measuremen…

cs.CV2018

Facade Segmentation in the Wild

John Femiani, Wamiq Reyaz Para, Niloy Mitra +1

Urban facade segmentation from automatically acquired imagery, in contrast to traditional image segmentation, poses several unique challenges. 360-degree photospheres captured from…